Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 9, issue 7
Articles | Volume 9, issue 7
https://doi.org/10.5194/gmd-9-2377-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-2377-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 7
Development and technical paper
 | 
12 Jul 2016
Development and technical paper |  | 12 Jul 2016

Multi-sensor cloud and aerosol retrieval simulator and remote sensing from model parameters – Part 2: Aerosols

Galina Wind, Arlindo M. da Silva, Peter M. Norris, Steven Platnick, Shana Mattoo, and Robert C. Levy

Viewed

Total article views: 3,878 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,234 1,480 164 3,878 168 167
  • HTML: 2,234
  • PDF: 1,480
  • XML: 164
  • Total: 3,878
  • BibTeX: 168
  • EndNote: 167
Views and downloads (calculated since 10 Feb 2016)
Cumulative views and downloads (calculated since 10 Feb 2016)

Cited

Latest update: 20 Nov 2024
Download
Short summary
The MCARS code creates sensor radiances using model-generated atmospheric columns and actual sensor and solar geometry. MCARS output looks like real data, so it is usable by any code that reads MODIS data. MCARS output can be used to test remote-sensing retrieval algorithms. Users know what went into creating the radiance: atmosphere, surface, clouds, and aerosols. Models can use MCARS output to create new parameterizations of relations of atmospheric physical quantities and measured radiances.
Read more